Title: Optimal design of power system stabiliser using hybrid biogeography-based predator-prey optimisation technique

Authors: Sourav Paul; Provas Kumar Roy

Addresses: Department of Electrical Engineering, Dr. B.C. Roy Engineering College, Durgapur, West Bengal, India ' Department of Electrical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, West Bengal, India

Abstract: Biogeography-based optimisation (BBO) is a relatively new bio-inspired and population-based optimisation algorithm. It is proved itself a worthy optimisation technique to solve various nonlinear optimisation problem. In this paper, the concept of predator-prey optimisation is incorporated in BBO to increase the diversity of the population. The proposed biogeography-based predator-prey optimisation (BPPO) technique is implemented on both single-input and dual-input power system stabilisers (PSSs). The effectiveness of the proposed algorithm is demonstrated on single machine infinite bus (SMIB) system using four different types of single and dual input PSS. From the simulation study, it is revealed that the transient performance of dual-input PSS is better than single-input PSS. The performance of the proposed algorithm is evaluated over a wide range of operating condition and the simulation results of the proposed method are compared with those obtained by BBO, seeker optimisation algorithm (SOA) and bacteria foraging optimisation (BFO). The results confirm the potential and effectiveness of the proposed BPPO algorithm over SOA, BFO and BBO.

Keywords: power system stabilisers; PSS; single machine infinite bus; SMIB; biogeography-based optimisation; BBO; predator-prey optimisation; single input PSS; dual input PSS; eigenvalue; damping ratio; optimal design; swarm intelligence; metaheuristics; simulation.

DOI: 10.1504/IJPEC.2017.084910

International Journal of Power and Energy Conversion, 2017 Vol.8 No.3, pp.225 - 256

Received: 24 Dec 2014
Accepted: 26 Aug 2015
Published online: 09 Jul 2017 *

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